ML Blog - Articles

Merge Large Language Models with mergekit

Create your own models easily, no GPU required!

Large Language Models

Open In Colab

Fine-tune Mistral-7b with Direct Preference Optimization

Boosting the performance of your supervised fine-tuned models

Large Language Models

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ExLlamaV2: The Fastest Library to Run LLMs

Quantize and run EXL2 models

Large Language Models

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Quantize Llama models with GGUF and llama.cpp

GGML vs. GPTQ vs. NF4

Large Language Models

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A Beginner’s Guide to LLM Fine-Tuning

How to fine-tune Llama and other LLMs with one tool

Large Language Models

4-bit LLM Quantization with GPTQ

Quantize your own open-source LLMs to run them on consumer hardware

Large Language Models

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Fine-Tune Your Own Llama 2 Model in a Colab Notebook

A practical introduction to LLM fine-tuning

Large Language Models

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Introduction to Weight Quantization

Large language model optimization using 8-bit quantization

Large Language Models

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Improve ChatGPT with Knowledge Graphs

Leveraging knowledge graphs for LLMs using LangChain

Large Language Models

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Decoding Strategies in Large Language Models

A Guide to Text Generation From Beam Search to Nucleus Sampling

Large Language Models

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Optimize Your Marketing Budget with Nonlinear Programming

Introduction to CVXPY to maximize marketing ROI

linear programming

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Create a Bot to Find Diamonds in Minecraft

Reinforcement Learning and Behavior Cloning in Python with MineRL

reinforcement learning

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Introduction to Constraint Programming in Python

The Programming Paradigm to Find One Solution Among 8,080,104 Candidates

linear programming

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GIN: How to Design the Most Powerful Graph Neural Network

Graph Neural Network Course: Chapter 4

graph neural networks

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GraphSAGE: Scaling up Graph Neural Networks

Graph Neural Network Course: Chapter 3

graph neural networks

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What is a Tensor in Machine Learning?

The difference between tensors, arrays, and matrices

data science

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Efficiently iterating over rows in a Pandas DataFrame

Never use iterrows and itertuples again!

data science

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Graph Attention Networks: Self-Attention for GNNs

Graph Neural Network Course: Chapter 2

graph neural networks

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Integer vs. Linear Programming in Python

Mixed Integer Programming for optimization with Google OR-Tools

linear programming

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Introduction to Linear Programming in Python

A guide to mathematical optimization with Google OR-Tools

linear programming

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Graph Convolutional Networks: Introduction to GNNs

Graph Neural Network Course: Chapter 1

graph neural networks

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Q-learning for beginners

Train an AI to solve the Frozen Lake environment

reinforcement learning